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@ -54,11 +54,12 @@ If trt is not NULL, return predictors for T = trt}
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\item{\code{switchTreatment()}}{Switch treatment value.}
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}}
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\examples{
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\dontrun{
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# Default use :
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vt.o <- VT.object$new(data = my.rct.dataset)
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# Getting data
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vt.o$data
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head(vt.o$data)
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# or getting predictor with interactions
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vt.o$getX(interactions = T)
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@ -71,7 +72,7 @@ vt.o$getY(0)
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# Print incidences
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vt.o$getIncidences()
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# ...
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}
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}
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\seealso{
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\code{\linkS4class{VT.difft}}
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@ -23,12 +23,10 @@ Maintainer: \packageMaintainer{VirtualTwins}
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\references{
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~~ Literature or other references for background information ~~
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}
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~~ Optionally other standard keywords, one per line, from file KEYWORDS in the R documentation directory ~~
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\keyword{ package }
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\seealso{
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~~ Optional links to other man pages, e.g. ~~
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~~ \code{\link[<pkg>:<pkg>-package]{<pkg>}} ~~
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}
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\examples{
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~~ simple examples of the most important functions ~~
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}
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43
man/formatRCTDataset.Rd
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43
man/formatRCTDataset.Rd
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@ -0,0 +1,43 @@
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% Generated by roxygen2 (4.1.1): do not edit by hand
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% Please edit documentation in R/formatRCTDataset.R
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\name{formatRCTDataset}
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\alias{formatRCTDataset}
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\title{RCT format for Virtual Twins}
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\usage{
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formatRCTDataset(dataset, outcome.field, treatment.field, interactions = TRUE)
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}
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\arguments{
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\item{dataset}{data.frame representing RCT's}
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\item{outcome.field}{name of the outcome's field in \code{dataset}}
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\item{treatment.field}{name of the treatment's field in \code{dataset}}
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\item{interactions}{logical. If running VirtualTwins with treatment's
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interactions, set to TRUE (default value)}
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}
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\value{
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return data.frame with good format (explained in details section) to run VirtualTwins
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}
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\description{
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\code{formatRCTDataset} returns dataset that Virtual Twins is able to
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analyze.
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}
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\details{
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This function check these differents topic: Outcome must be binary and a
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factor. If numeric with two distincts values, outcome becomes a factor where
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the favorable reponse is the second level. Also, outcome is moved on the
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first column of \code{dataset}.
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Treatment must have two distinct numeric values, 0 : no treatment, 1 :
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treatment. Treatment is moved to the second column.
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Qualitatives variables must be factor. If it has more than two levels, if
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running VirtualTwins with interaction, it creates dummy variables.
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}
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\examples{
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\dontrun{
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data.format <- formatRCTDataset(data, "outcome", "treatment", TRUE)
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}
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}
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